Resilient heuristic aggregation of judgments in the pairwise
comparisons method

J 2024

Resilient heuristic aggregation of judgments in the pairwise comparisons method

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK and Sebastian ERNST

Basic information

Original name

Resilient heuristic aggregation of judgments in the pairwise comparisons method

Authors

KULAKOWSKI, Konrad (616 Poland), Jacek SZYBOWSKI (616 Poland), Jiří MAZUREK (203 Czech Republic, guarantor, belonging to the institution) and Sebastian ERNST (616 Poland)

Edition

Information Sciences, 2024, 0020-0255

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

School of Business Administration in Karvina

DOI

http://dx.doi.org/10.1016/j.ins.2023.119979

UT WoS

111111111111111

Keywords in English

Pairwise comparisons; Manipulation; Group decision making; Pairwise comparisons matrix; Analytic hierarchy process

Links

GA21-03085S, research and development project.

Změněno: 23/10/2024 10:58, doc. Mgr. Jiří Mazurek, Ph.D.

Abstract

V originále

In decision-making methods, it is common to assume that the experts are honest and professional. However, this is not the case when one or more experts in the pairwise-based group decisionmaking framework, such as the group analytic hierarchy process, try to manipulate results in their favor. This paper aims to introduce two heuristics enabling detection of manipulators and minimizing their effect on the group consensus by diminishing their weights. The first heuristic is based on the assumption that manipulators will provide judgments that can be considered outliers with respect to those of the other experts in the group. The second heuristic assumes that dishonest judgments are less consistent than the average consistency of the group. Both approaches are illustrated with numerical examples and simulations

Citovat

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK and Sebastian ERNST. Resilient heuristic aggregation of judgments in the pairwise comparisons method. Information Sciences. 2024, vol. 57, neuvedeno, p. 1-20. ISSN 0020-0255. Available from: https://dx.doi.org/10.1016/j.ins.2023.119979.

@article{80524,
   author = {Kulakowski, Konrad and Szybowski, Jacek and Mazurek, Jiří and Ernst, Sebastian},
   article_number = {neuvedeno},
   doi = {http://dx.doi.org/10.1016/j.ins.2023.119979},
   keywords = {Pairwise comparisons; Manipulation; Group decision making; Pairwise comparisons matrix; Analytic hierarchy process},
   language = {eng},
   issn = {0020-0255},
   journal = {Information Sciences},
   title = {Resilient heuristic aggregation of judgments in the pairwise comparisons method},
   url = {https://doi.org/10.1016/j.ins.2023.119979},
   volume = {57},
   year = {2024}
}

TY  - JOUR
ID  - 80524
AU  - Kulakowski, Konrad - Szybowski, Jacek - Mazurek, Jiří - Ernst, Sebastian
PY  - 2024
TI  - Resilient heuristic aggregation of judgments in the pairwise comparisons method
JF  - Information Sciences
VL  - 57
IS  - neuvedeno
SP  - 1-20
EP  - 1-20
SN  - 00200255
KW  - Pairwise comparisons
KW  - Manipulation
KW  - Group decision making
KW  - Pairwise comparisons matrix
KW  - Analytic hierarchy process
UR  - https://doi.org/10.1016/j.ins.2023.119979
N2  - In decision-making methods, it is common to assume that the experts are honest and professional. However, this is not the case when one or more experts in the pairwise-based group decisionmaking framework, such as the group analytic hierarchy process, try to manipulate results in their favor. This paper aims to introduce two heuristics enabling detection of manipulators and minimizing their effect on the group consensus by diminishing their weights. The first heuristic is based on the assumption that manipulators will provide judgments that can be considered outliers with respect to those of the other experts in the group. The second heuristic assumes that dishonest judgments are less consistent than the average consistency of the group. Both approaches are illustrated with numerical examples and simulations
ER  -

KULAKOWSKI, Konrad, Jacek SZYBOWSKI, Jiří MAZUREK and Sebastian ERNST. Resilient heuristic aggregation of judgments in the pairwise comparisons method. \textit{Information Sciences}. 2024, vol.~57, neuvedeno, p.~1-20. ISSN~0020-0255. Available from: https://dx.doi.org/10.1016/j.ins.2023.119979.

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